Rodriguezcurry1641

This paper argues that if Biden wins the 2020 U.S. presidential election, his supporters should advocate for him to provide a value-declaring apology for what they consider the major offenses of the Trump administration. Such apologies differ considerably from categorical apologies, but they can provide significant meanings and serve substantive objectives during such a potentially volatile political transition.The Latino population explosion is changing the electoral calculus in American politics. But Latino voters are often misunderstood, their heterogeneity underappreciated, the importance of their religious identities overstated, and their political clout ignored because of geographic concentration. In this article, we address these widely held misconceptions.For the 2020 presidential nomination, the Democratic Party reduced the influence of superdelegates. This reform was designed to appease Democratic voters by tipping the selection power toward voters and away from elites. Yet in 2020, superdelegates remained influential, as they retained the ability to endorse candidates early and shape the narrative and trajectory of the race.We illuminate the dynamics of primary campaigns by looking at how individuals changed their candidate support, favorability and viability within a crucial state in the 2020 primary. Via a multi-wave survey of likely primary voters in Michigan, we show that Joe Biden's comeback win was due primarily to the change in perception of his viability following South Carolina and Super Tuesday, especially among the more moderate portion of the Democratic electorate. In subsequent county-level analyses we find that the difference between Bernie Sanders's win in 2016 and loss in 2020 was more a function of changes in the Democratic primary electorate than in his appeal. Our work suggests that gains in viability do not benefit all candidates equally. Moreover, viability can be generated later in the schedule than previously thought and to decisive ends. We consider the implications of our findings for understanding Michigan's outcome in November.Education level-often referred to as the "diploma divide"-has been implicated as one of the key cleavages in the 2016 presidential election. This piece explores this division over time, along with the most common explanations of the education cleavage in 2016, class and racial resentment. Voters' views on the value of expertise are added as a possible explanation of the 2016 electoral divide by education level.The present, exploratory study examined retrospective and current peer victimization in a multi-university sample of 58 college students with disabilities, 18 (31%) of whom identified as sexual minorities. Fifty-seven participants reported peer victimization during childhood, and approximately half reported experiencing peer victimization in the past 2 months. PF-573228 supplier Students who identified as sexual minorities reported more retrospective victimization but current victimization did not differ between the two groups. Current and retrospective peer victimization were significantly correlated with present psychological distress. Professionals who work with students with disabilities should be aware of the high prevalence of peer victimization and its psychological correlates in this population.Identifying and monitoring business and technological trends are crucial for innovation and competitiveness of businesses. Exponential growth of data across the world is invaluable for identifying emerging and evolving trends. On the other hand, the vast amount of data leads to information overload and can no longer be adequately processed without the use of automated methods of extraction, processing, and generation of knowledge. There is a growing need for information systems that would monitor and analyse data from heterogeneous and unstructured sources in order to enable timely and evidence-based decision-making. Recent advancements in computing and big data provide enormous opportunities for gathering evidence on future developments and emerging opportunities. The present study demonstrates the use of text-mining and semantic analysis of large amount of documents for investigating in business trends in mobile commerce (m-commerce). Particularly with the on-going COVID-19 pandemic and resultant social isolation, m-commerce has become a large technology and business domain with ever growing market potentials. Thus, our study begins with a review of global challenges, opportunities and trends in the development of m-commerce in the world. Next, the study identifies critical technologies and instruments for the full utilization of the potentials in the sector by using the intelligent big data analytics system based on in-depth natural language processing utilizing text-mining, machine learning, science bibliometry and technology analysis. The results generated by the system can be used to produce a comprehensive and objective web of interconnected technologies, trends, drivers and barriers to give an overview of the whole landscape of m-commerce in one business intelligence (BI) data mart diagram.Research universities have a strong devotion and advocacy for research in their core academic mission. This is why they are widely recognized for their excellence in research which make them take the most renowned positions in the different worldwide university leagues. In order to examine the uniqueness of this group of universities we analyze the scientific production of a sample of them in a 5 year period of time. On the one hand, we analyze their preferences in research measured with the relative percentage of publications in the different subject areas, and on the other hand, we calculate the similarity between them in research preferences. In order to select a set of research universities, we studied the leading university rankings of Shanghai, QS, Leiden, and Times Higher Education (THE). Although the four rankings own well established and developed methodologies and hold great prestige, we choose to use THE because data were readily available for doing the study we had in mind. link2 Having done that, we sefor enhancing existing collaboration, defining and re-directing lines of research, and seeking for new partnerships to face the current pandemic to find was to tackle down the covid-19 outbreak.On December 31st 2019, the World Health Organization China Country Office was informed of cases of pneumonia of unknown etiology detected in Wuhan City. The cause of the syndrome was a new type of coronavirus isolated on January 7th 2020 and named Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2). SARS-CoV-2 is the cause of the coronavirus disease 2019 (COVID-19). Since January 2020 an ever increasing number of scientific works related to the new pathogen have appeared in literature. Identifying relevant research outcomes at very early stages is challenging. In this work we use COVID-19 as a use-case for investigating (1) which tools and frameworks are mostly used for early scholarly communication; (2) to what extent altmetrics can be used to identify potential impactful research in tight (i.e. quasi-zero-day) time-windows. link3 A literature review with rigorous eligibility criteria is performed for gathering a sample composed of scientific papers about SARS-CoV-2/COVID-19 appeared in literature in the automated frameworks aimed at helping the scientific community in identifying relevant work even in case of limited literature and observation time.Geologic carbon storage is required for achieving negative CO2 emissions to deal with the climate crisis. The classical concept of CO2 storage consists in injecting CO2 in geological formations at depths greater than 800 m, where CO2 becomes a dense fluid, minimizing storage volume. Yet CO2 has a density lower than the resident brine and tends to float, challenging the widespread deployment of geologic carbon storage. Here, we propose for the first time to store CO2 in supercritical reservoirs to reduce the buoyancy-driven leakage risk. Supercritical reservoirs are found at drilling-reachable depth in volcanic areas, where high pressure (p > 21.8 MPa) and temperature (T > 374°C) imply CO2 is denser than water. We estimate that a CO2 storage capacity in the range of 50-500 Mt yr-1 could be achieved for every 100 injection wells. Carbon storage in supercritical reservoirs is an appealing alternative to the traditional approach.This paper uses survey data at the county level to explore the factors determining mask-wearing behavior in the USA during the COVID-19 pandemic. Empirical results provide evidence that the tendency to wear a mask while in public is significantly lower in counties where then-candidate Donald Trump found strong support during the 2016 presidential election. In addition, states with mask-wearing mandates tend to witness greater mask-wearing behavior.A Supreme Court decision legalizing sports betting in the US led states to legalize sports betting in order to generate new tax revenues from wagering on sports events. Most states already permit other forms of gambling and receive tax revenues from these sources. The literature analyzing consumer substitution in gambling spending contains some evidence on the impact of expansions in many types of gambling, but no evidence on the impact of expanded sports betting. This paper exploits the legalization of sports betting and timing of sports book openings in West Virginia to analyze the impact of expanded sports betting on other casino gambling. Evidence using Instrumental Variables and difference-in-differences shows that increased consumer spending on sports betting caused a significant decline in spending on video lottery terminals (VLTs) in casinos, both of which generate tax revenues. Fiscal impacts include $2.6 million in new tax revenue from sports betting and a $45.4 million decrease in VLT tax revenues caused by expanded sports betting.Sports leagues have requested state legislatures to pass so-called integrity fees or taxes on the entire amount bet on their games, ostensibly to provide resources to protect against game fixing and other corrupt behavior. These fees might just augment league revenues. Integrity fees have different consequences if they are placed on a sports book's handle or hold. We model one possible consequence of an integrity fee placed on the handle, that sports books might be motivated to avoid pushes, after which they have no hold but face a tax liability. One approach moves to half-point lines which eliminate pushes but might be second best in terms of betting market efficiency. As a case study, we describe the characteristics of recent betting lines in four North American sports. Based on predicted pushes, actual pushes, half-point lines, and the intertemporal correlation between the annual number of pushes and the annual number of half-point lines, it appears that sports books already actively set lines that avoid pushes and could easily adjust to half-point lines motivated by integrity fees.Negative urgency, rash action during negative mood states, is a strong predictor of risky behavior. However, its developmental antecedents remain largely unstudied. The current study tested whether childhood temperament served as a developmental antecedent to adolescent negative urgency. Participants (N=239) were from a longitudinal study oversampled for a family history of alcohol use disorder (AUD). Negative emotionality (anger and sadness reactivity) and effortful control were measured in childhood (5-8) and negative urgency in adolescence (13-18). Childhood anger reactivity was uniquely related to later negative urgency above and beyond sadness reactivity. Effortful control was not related to later negative urgency; however, a latent variable capturing the shared variance between childhood effortful control and anger reactivity was related to later negative urgency.